Data Engineer

Skills: Apache Spark, Data Architecture, Python, Python for DATA, SparkSQL

• Provide technical input on data platforms consumption engines and emerging technologies to enhance analytics and derived datasets
• Design build and support data pipelines to acquire aggregate refine and securely move data from source to target
• Develop and maintain data assets to enable enterprise querying and analytics
• Manage datasets to support feature engineering APIs and ingestion processes
• Build publish and maintain reusable data assets for realtime and analytical consumption
• Design implement and document data architecture and data models conceptual logical physical
• Implement data integration using ETL and other data tools across databases systems and platforms hands on GCP experience
• Set up data quality checks monitoring and ing for analytics data flows
• Collaborate with data wranglers data scientists and technical development teams Skills Mandatory Skills : Apache Spark, Data Architecture, Python, Python for DATA, SparkSQL